{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "data01 = pd.read_csv(\"D:\\鹏飞云\\明达\\内部交流\\【0】10451_2018-订正后-Exported-01.txt\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date/Time\\tSpeed 90 m [m/s]\\tSpeed 10 m [m/s]\\tSpeed 90 m WPD [W/m2]\\tSpeed 10 m WPD [W/m2]\\t</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2018-01-01 00:00\\t0.759\\t3.892\\t0.2\\t27.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018-01-01 00:05\\t1.048\\t4.225\\t0.5\\t35.7</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018-01-01 00:10\\t1.439\\t4.017\\t1.4\\t30.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2018-01-01 00:15\\t1.673\\t4.600\\t2.2\\t46.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018-01-01 00:20\\t1.826\\t5.463\\t2.9\\t77.3</td>\n",
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       "    <tr>\n",
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       "      <td>...</td>\n",
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       "      <th>105115</th>\n",
       "      <td>2018-12-31 23:35\\t\\t2.031\\t\\t3.9</td>\n",
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       "    <tr>\n",
       "      <th>105116</th>\n",
       "      <td>2018-12-31 23:40\\t\\t2.034\\t\\t3.9</td>\n",
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       "    <tr>\n",
       "      <th>105117</th>\n",
       "      <td>2018-12-31 23:45\\t\\t2.008\\t\\t3.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105118</th>\n",
       "      <td>2018-12-31 23:50\\t\\t1.811\\t\\t2.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105119</th>\n",
       "      <td>2018-12-31 23:55\\t0.751\\t1.765\\t0.2\\t2.6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>105120 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Date/Time\\tSpeed 90 m [m/s]\\tSpeed 10 m [m/s]\\tSpeed 90 m WPD [W/m2]\\tSpeed 10 m WPD [W/m2]\\t\n",
       "0               2018-01-01 00:00\\t0.759\\t3.892\\t0.2\\t27.7                                           \n",
       "1               2018-01-01 00:05\\t1.048\\t4.225\\t0.5\\t35.7                                           \n",
       "2               2018-01-01 00:10\\t1.439\\t4.017\\t1.4\\t30.6                                           \n",
       "3               2018-01-01 00:15\\t1.673\\t4.600\\t2.2\\t46.2                                           \n",
       "4               2018-01-01 00:20\\t1.826\\t5.463\\t2.9\\t77.3                                           \n",
       "...                                                   ...                                           \n",
       "105115                   2018-12-31 23:35\\t\\t2.031\\t\\t3.9                                           \n",
       "105116                   2018-12-31 23:40\\t\\t2.034\\t\\t3.9                                           \n",
       "105117                   2018-12-31 23:45\\t\\t2.008\\t\\t3.8                                           \n",
       "105118                   2018-12-31 23:50\\t\\t1.811\\t\\t2.8                                           \n",
       "105119           2018-12-31 23:55\\t0.751\\t1.765\\t0.2\\t2.6                                           \n",
       "\n",
       "[105120 rows x 1 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data01"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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